Course Name Year Term Period Faculty / Graduate School All Instructors Credits
51003:Introduction to Mathematics for Policy Studies(P) 2024 Fall Fri4 College　Of　Policy　Science TAKASHINO NINA 2

Campus

OIC

Class Venue

AS455

Language

English

Course Outline and Method

This course provides students with essential mathematical tools for Policy Science. With increasing data availability, policy questions can be analyzed quantitatively, making it crucial for students to have a strong grasp of mathematical fundamentals. The course covers various topics to help students tackle policy questions from a mathematical perspective.

After each lecture, there will be a mini-test to check the students' comprehension. Additionally, the instructor will assign homework, which will serve as preparation for the next lecture. Students will be expected to give short presentations and participate in discussions.

Keywords: linear and quadratic equations, logarithms, limits.

Student Attainment Objectives

On completion of this course, students should be able to:

- interpret and apply functional notation;
- graph linear and quadratic functions;
- understand logarithms and apply their properties;
- translate word problems into mathematical expressions;
- understand and calculate limits.

Recommended Preparatory Course

Course Schedule

Lecture/Instructor（When there are multiple instructors) Theme
Keyword, References and Supplementary Information
1

Introduction, Functions and Graphs 2

Elementary Functions

2

Functions and Graphs 3

Quadratic Functions

3

Functions and Graphs 4

Polynominal and Rational Functions

4

Functions and Graphs 5

Exponential Functions

5

Functions and Graphs 6

Logarithmic Functions

6

Probability 1

Sample Spaces, Events, and Probability

7

Probability 2

Union, Intersection, and Complement of Events; Odds

8

Summary I

Course review

9

Probability 3

Conditional Probability, Intersection, and Independence

10

Probability 4

Bayes’ Formula

11

Probability 5

Random Variable, Probability Distribution, and Expected Value

12

Limits and the Derivative 1

Introduction to Limits

13

Limits and the Derivative 2

Infinite Limits and Limits at Infinity

14

Limits and the Derivative 4

The Derivative

15

Summary 2

Course review

Class Format

15 classes on Face to Face basis.

Recommendations for Private Study

The instructor provides assignments at the end of each class.
Students think and prepare answers for the next class.
Review class material and contact the instructor if needed.

Grade Evaluation Method

Kind Percentage Grading Criteria etc.
Final Examination (Written)

Report Examination
(A report to be submitted by the unified deadline)

Exams and/or Reports other than those stated above, and Continuous Assessment　
(Evaluation of Everyday Performance in Class)		 100

Mini test: 40%
Summary test (2 times): 40%
Class Participation & Discussion: 20%
(assignments, presentations, discussions)

Grade Evaluation Method （Note）

Advice to Students on Study and Research Methods

Textbooks

Title Author Publisher ISBN Code Comment
College Mathematics for Business, Economics, Life Sciences, and Social Sciences, 14th edition Raymond A. Barnett Merritt Pearson

Textbooks （Frequency of Use, Note）

Materials will be distributed in class.

Reference Books

Title Author Publisher ISBN Code Comment
Fundamental methods of mathematical economics. Chiang, A. C. McGraw Hill Higher Education 978-0071238236 2005
Introduction to mathematical economics. Dowling, E. T. McGraw-Hill 978-0071762519 2011

Reference Books （Frequency of Use, Note）

Web Pages for Reference

How to Communicate with the Instructor In and Out of Class(Including Instructor Contact Information)

Learning Management System （manaba+R）,Talk with Students

Other Comments

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URL:http://www.ritsumei.ac.jp//students/pathways-future/course/curriculum.html